Youth-GEMs

Youth-GEMs

Improving mental health, 

one step, at a time.

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About Youth-GEMs

What is Youth-GEMs?

At Youth-GEMs, we’re dedicated to improving the mental health of young people across Europe.

Through groundbreaking research using AI and unprecedented sets of data, we’re identifying actionable markers for mental health trajectories and providing tools for early detection, prediction, and monitoring of mental illness.

We’re also providing comprehensive, validated assessments of mental health tailored to young people aged 12-24.

Join us on this important journey towards better mental health for all.

Our Team

Meet Our Team

Are you interested in learning more about the Youth-GEMs team and our groundbreaking research on mental health?

We’re a multidisciplinary consortium made up of 18 member institutions from 10 different countries, coordinated by the University of Maastricht.

Click here to meet the Youth-GEMs team and learn more about our work.

The approach

The Youth-GEMs Approach

WP1 is responsible for the effective coordination, organization, communication, and administration of the Youth-Gems project. The team will ensure that financial management is handled efficiently, potential risks are assessed, and contingency plans are executed. WP1 will also oversee legal and ethical compliance for the entire project and manage the innovation process, including data management, publication, and IP management.

WP2 of Youth-Gems has several goals, including engaging and involving all relevant stakeholders and sharing project results with the wider community. The team will work together to develop a framework for mental illness that will be useful for everyone involved in the project. They will also create tools to help young people across Europe manage trauma, and ensure that the project is conducted in an ethical and secure manner. Finally, WP2 will collaborate with other projects and initiatives to support the academic development of consortium members.

WP3 of Youth-Gems has two main goals: to create and maintain the Data Management Plan (DMP) for the project, and to coordinate a data model that will allow different sources of data to work together. This will be done using a federated learning platform, which will help researchers to analyze and learn from the data in a more efficient and effective way.

WP4 of Youth-Gems is trying to identify which genes are involved in mental health and illness in different stages of development. The project will study the regions of DNA that control how genes work and test different cells and stages of development to find which genes are most important. The results will be used to create a list of genetic variants that can be used to help diagnose and treat mental illness.

WP5 of Youth-Gems seeks to explore how different factors like genes, environment, and experiences affect the transition from mental health to mental illness in young people. The project aims to identify mental health trajectories and investigate the role of environmental and genetic risk across development. This will be done by applying machine learning to a new Pan-European clinical cohort, integrating exposome scores, and using biologically and functionally-informed polygenic scores developed by WP4.

WP6 of Youth-Gems is developing a special app that uses artificial intelligence to help monitor and predict the mental health of young people. The app will collect data from various sources, such as sensors and mobile devices, and use it to create personalized assessments for each user. The app will have a user-friendly dashboard for young people and clinicians to interpret the data and help make decisions about their mental health care.

WP7 of Youth-Gems aims to create innovative assessment protocols, measures, research, and tools for young experts and clinicians. This includes delivering a harmonized assessment protocol, co-creating meaningful multidimensional measures, and developing user-friendly digital assessment methods. The project also intends to collect data from young experts seeking help to create clinically useful prediction tools of risk and resilience mental health trajectories and test the usability of digital tools for clinicians and young experts.

The objective is to ensure compliance with the ‘ethics requirements’ set out in this work package.